{"doi":"10.1145/3569460","title":"SmokeMon","abstract":"Smoking is the leading cause of preventable death worldwide. Cigarette smoke includes thousands of chemicals that are harmful and cause tobacco-related diseases. To date, the causality between human exposure to specific compounds and the harmful effects is unknown. A first step in closing the gap in knowledge has been measuring smoking topography, or how the smoker smokes the cigarette (puffs, puff volume, and duration). However, current gold-standard approaches to smoking topography involve expensive, bulky, and obtrusive sensor devices, creating unnatural smoking behavior and preventing their potential for real-time interventions in the wild. Although motion-based wearable sensors and their corresponding machine-learned models have shown promise in unobtrusively tracking smoking gestures, they are notorious for confounding smoking with other similar hand-to-mouth gestures such as eating and drinking. In this paper, we present SmokeMon, a chest-worn thermal-sensing wearable system that can capture spatial, temporal, and thermal information around the wearer and cigarette all day to unobtrusively and passively detect smoking events. We also developed a deep learning-based framework to extract puffs and smoking topography. We evaluate SmokeMon in both controlled and free-living experiments with a total of 19 participants, more than 110 hours of data, and 115 smoking sessions achieving an F1-score of 0.9 for puff detection in the laboratory and 0.8 in the wild. By providing SmokeMon as an open platform, we provide measurement of smoking topography in free-living settings to enable testing of smoking topography in the real world, with potential to facilitate timely smoking cessation interventions.","journal":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","year":2022,"id":274843,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":10,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9563,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":943434,"name":"Soroush Shahi","orcid":"0000-0001-7898-3957","position":1,"is_corresponding":false},{"id":943435,"name":"Stefany Cruz","orcid":"0000-0001-6461-1984","position":2,"is_corresponding":false},{"id":943436,"name":"Lingfeng Li","orcid":"0000-0001-9872-002X","position":3,"is_corresponding":false},{"id":305889,"name":"Sougata Sen","orcid":"0000-0002-2466-0025","position":4,"is_corresponding":false},{"id":943437,"name":"Mahdi Pedram","orcid":"0000-0001-5742-6529","position":5,"is_corresponding":false},{"id":748223,"name":"Christopher Romano","orcid":"0000-0003-3647-2934","position":6,"is_corresponding":false},{"id":943438,"name":"Josiah Hester","orcid":"0000-0002-1680-085X","position":7,"is_corresponding":false},{"id":380528,"name":"Aggelos K. Katsaggelos","orcid":"0000-0003-4554-0070","position":8,"is_corresponding":false},{"id":273343,"name":"Nabil Alshurafa","orcid":"0000-0001-6681-7564","position":9,"is_corresponding":false},{"id":943433,"name":"Rawan Alharbi","orcid":"0000-0002-0789-7805","position":0,"is_corresponding":true}],"reference_count":39,"raw_metadata":null,"created_at":"2026-07-19T00:28:12.324621Z","pmid":"38031552","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}